⭐ 欢迎来到虫虫下载站！ | 📦 资源下载 📁 资源专辑 ℹ️ 关于我们
⭐ 虫虫下载站
📤 上传资源

📄 kpcarec.html

📁 很好的matlab模式识别工具箱
💻 HTML
字号:
🔍 
<html><head>  <meta HTTP-EQUIV="Content-Type" CONTENT="text/html;charset=ISO-8859-1">  <title>kpcarec.m</title><link rel="stylesheet" type="text/css" href="../../../m-syntax.css"></head><body><code><span class=defun_kw>function</span>&nbsp;<span class=defun_out>Y&nbsp;</span>=&nbsp;<span class=defun_name>kpcarec</span>(<span class=defun_in>X,model</span>)<br><span class=h1>%&nbsp;KPCAREC&nbsp;Reconstructs&nbsp;image&nbsp;after&nbsp;kernel&nbsp;PCA.</span><br><span class=help>%&nbsp;</span><br><span class=help>%&nbsp;<span class=help_field>Synopsis:</span></span><br><span class=help>%&nbsp;&nbsp;Y&nbsp;=&nbsp;kpcarec(X,model)</span><br><span class=help>%</span><br><span class=help>%&nbsp;<span class=help_field>Description:</span></span><br><span class=help>%&nbsp;&nbsp;Input&nbsp;data&nbsp;X&nbsp;are&nbsp;projected&nbsp;using&nbsp;kernel&nbsp;projection&nbsp;trained</span><br><span class=help>%&nbsp;&nbsp;the&nbsp;by&nbsp;Kernel&nbsp;PCA&nbsp;[Mika99b].&nbsp;The&nbsp;RBF&nbsp;kernel&nbsp;is&nbsp;assumed.&nbsp;This&nbsp;</span><br><span class=help>%&nbsp;&nbsp;function&nbsp;computes&nbsp;the&nbsp;preimages&nbsp;Y&nbsp;from&nbsp;the&nbsp;input&nbsp;space&nbsp;</span><br><span class=help>%&nbsp;&nbsp;corresponding&nbsp;to&nbsp;the&nbsp;projected&nbsp;data&nbsp;are.</span><br><span class=help>%</span><br><span class=help>%&nbsp;&nbsp;&nbsp;X&nbsp;-&gt;&nbsp;projection&nbsp;to&nbsp;-&gt;&nbsp;preimage&nbsp;-&gt;&nbsp;Y</span><br><span class=help>%&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;kernel&nbsp;space&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;problem</span><br><span class=help>%&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;by&nbsp;Kernel&nbsp;PCA</span><br><span class=help>%</span><br><span class=help>%&nbsp;<span class=help_field>Input:</span></span><br><span class=help>%&nbsp;&nbsp;X&nbsp;[dim&nbsp;x&nbsp;num_data]&nbsp;Input&nbsp;vectors.</span><br><span class=help>%&nbsp;&nbsp;model&nbsp;[struct]&nbsp;Kernel&nbsp;projection&nbsp;with&nbsp;RBF&nbsp;kernel;</span><br><span class=help>%&nbsp;&nbsp;&nbsp;see&nbsp;'help&nbsp;kernelproj'.&nbsp;</span><br><span class=help>%</span><br><span class=help>%&nbsp;<span class=help_field>Output:</span></span><br><span class=help>%&nbsp;&nbsp;Y&nbsp;[dim&nbsp;x&nbsp;num_data]&nbsp;Output&nbsp;data.</span><br><span class=help>%</span><br><span class=help>%&nbsp;See&nbsp;also&nbsp;&nbsp;</span><br><span class=help>%&nbsp;&nbsp;KPCA,&nbsp;PCAREC.</span><br><span class=help>%</span><br><hr><span class=help1>%&nbsp;<span class=help1_field>About:</span>&nbsp;Statistical&nbsp;Pattern&nbsp;Recognition&nbsp;Toolbox</span><br><span class=help1>%&nbsp;(C)&nbsp;1999-2003,&nbsp;Written&nbsp;by&nbsp;Vojtech&nbsp;Franc&nbsp;and&nbsp;Vaclav&nbsp;Hlavac</span><br><span class=help1>%&nbsp;&lt;a&nbsp;href="http://www.cvut.cz"&gt;Czech&nbsp;Technical&nbsp;University&nbsp;Prague&lt;/a&gt;</span><br><span class=help1>%&nbsp;&lt;a&nbsp;href="http://www.feld.cvut.cz"&gt;Faculty&nbsp;of&nbsp;Electrical&nbsp;Engineering&lt;/a&gt;</span><br><span class=help1>%&nbsp;&lt;a&nbsp;href="http://cmp.felk.cvut.cz"&gt;Center&nbsp;for&nbsp;Machine&nbsp;Perception&lt;/a&gt;</span><br><br><span class=help1>%&nbsp;<span class=help1_field>Modifications:</span></span><br><span class=help1>%&nbsp;17-may-2004,&nbsp;VF</span><br><span class=help1>%&nbsp;22-apr-2004,&nbsp;VF</span><br><span class=help1>%&nbsp;17-mar-2004,&nbsp;VF,&nbsp;created.</span><br><br><hr>[dim,&nbsp;num_data]&nbsp;=&nbsp;size(X);<br><br><span class=io>fprintf</span>(<span class=quotes>'Projection&nbsp;data...'</span>);<br>Z&nbsp;=&nbsp;kernelproj(X,&nbsp;model&nbsp;);<br><span class=io>fprintf</span>(<span class=quotes>'done.\n'</span>);<br><br><span class=comment>%&nbsp;allocate&nbsp;memory</span><br>Y&nbsp;=&nbsp;zeros(dim,num_data);<br>img&nbsp;=&nbsp;model;<br><br><span class=io>fprintf</span>(<span class=quotes>'Computing&nbsp;preimages'</span>);<br><span class=keyword>for</span>&nbsp;i=1:num_data,<br>&nbsp;&nbsp;&nbsp;<span class=io>fprintf</span>(<span class=quotes>'.'</span>);<br>&nbsp;&nbsp;<br>&nbsp;&nbsp;&nbsp;img.Alpha&nbsp;=&nbsp;model.Alpha*(Z(:,i)&nbsp;-&nbsp;model.b);<br><br>&nbsp;&nbsp;&nbsp;Y(:,i)&nbsp;=&nbsp;rbfpreimg(img);&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<span class=comment>%&nbsp;Schoelkopf's&nbsp;fix-point&nbsp;algorithm</span><br><span class=comment>%&nbsp;&nbsp;&nbsp;Y(:,i)&nbsp;=&nbsp;rbfpreimg2(img);&nbsp;&nbsp;%&nbsp;Gradient&nbsp;method</span><br><span class=comment>%&nbsp;&nbsp;&nbsp;&nbsp;Y(:,i)&nbsp;=&nbsp;rbfpreimg3(img,7);&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;%&nbsp;Kwok&nbsp;&&nbsp;Tsang</span><br><br><span class=keyword>end</span><br><span class=io>fprintf</span>(<span class=quotes>'done\n'</span>);<br><br><span class=jump>return</span>;<br><span class=comment>%&nbsp;EOF</span><br></code>

⌨️ 快捷键说明

复制代码 Ctrl + C
搜索代码 Ctrl + F
全屏模式 F11
切换主题 Ctrl + Shift + D
显示快捷键 ?
增大字号 Ctrl + =
减小字号 Ctrl + -